Mukesh Tiwari

dblp:02/8036 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-5373-9659ORCID · verified

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Security and privacy · 3 · 2 since 2021Theory of computation · 1
YearPublicationVenuePosition
2023 Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications
abstract
We consider the problem of specifying and proving the security of non-trivial, concurrent programs that intentionally leak information. We present a method that decomposes the problem into (a) proving that the program only leaks information it has declassified via assume annotations already widely used in deductive program verification; and (b) auditing the declassifications against a declarative security policy. We show how condition (a) can be enforced by an extension of the existing program logic SecCSL, and how (b) can be checked by proving a set of simple entailments. Part of the challenge is to define respective semantic soundness criteria and to formally connect these to the logic rules and policy audit. We support our methodology in an auto-active program verifier, which we apply to verify the implementations of various case study programs against a range of declassification policies.
Toby C. Murray, Mukesh Tiwari, Gidon Ernst, David A. Naumann
CCS2
2023 Machine-checking Multi-Round Proofs of Shuffle: Terelius-Wikstrom and Bayer-Groth
Thomas Haines, Rajeev Goré, Mukesh Tiwari
USENIX Security Symposium3
2019 Verified Verifiers for Verifying Elections
abstract
The security and trustworthiness of elections is critical to democracy; alas, securing elections is notoriously hard. Powerful cryptographic techniques for verifying the integrity of electronic voting have been developed and are in increasingly common use. The claimed security guarantees of most of these techniques have been formally proved. However, implementing the cryptographic verifiers which utilize these techniques is a technical and error prone process, and often leads to critical errors appearing in the gap between the implementation and the formally verified design. We significantly reduce the gap between theory and practice by using machine checked proofs coupled with code extraction to produce cryptographic verifiers that are themselves formally verified. We demonstrate the feasibility of our technique by producing a formally verified verifier which we use to check the 2018 International Association for Cryptologic Research (IACR) directors election.
Thomas Haines, Rajeev Goré, Mukesh Tiwari
CCS3
2017 Schulze Voting as Evidence Carrying Computation
Dirk Pattinson, Mukesh Tiwari
ITP2